Behavior-based malware data analysis
Behavior-based malware data analysis is a proactive approach to cybersecurity that focuses on the actions that are performed by a piece of software rather than its static attributes, such as its code signature. This shift in focus enables us to detect previously unknown or evolved threats that might not have a known signature but exhibit malicious behavior. The approach can be divided into two main stages:
- Data collection
- Behavior analysis
Let’s take a closer look.
Data collection
In this stage, software behavior is monitored and recorded. This can be done through various methods, such as system call tracing, API function call tracking, memory and CPU usage monitoring, network traffic analysis, and more. The objective is to capture as much relevant behavior data as possible without overly impacting system performance.
Behavior analysis
This is where the collected data is analyzed to identify potential malicious...
